How artificial intelligence is projected to influence the automotive industry
Artificial intelligence and data science are two main technologies that forms the processes of the automotive. Since 2017, Udacity selected a group of 18 talented engineers (out of hundreds of applicants) to form the Self-Racing Cars team Udacity offer the first self-driving Nanodegree program. The program was Built in partnership with Uber, BMW, Mercedes-Benz, and Nvidia. After a huge success, Udacity introduced another... [Lire la suite]

Credit : Steve Jennings
Yesterday, Google SVP of Engineering in charge of search and artificial intelligence John Giannandrea announced his departure from the company. Now the reason for that departure is clear: he's been hired by Apple to lead the company's "machine learning and A.I. strategy," reporting directly to CEO Tim Cook.
Giannandrea joined Google in 2010 as part of the company's acquisition of Metaweb, the company behind Freebase, a community-driven database of data and information that was eventually leveraged to... [Lire la suite]

Upstream Security, a new startup founded by two cyber security industry veterans, announced a $9 million Series A today to help protect connected vehicles and eventually autonomous cars.
Today, that probably means a car using a service like OnStar to connect over the internet to your manufacturer for a menu of in-car services such as automated crash detection and stolen vehicle assistance. In the future, it could involve a set of communications between cars, cloud services and a host of other technologies as we move deeper into the... [Lire la suite]

What is driving risk and why most apps DO NOT measure it although they seem to be interesting
Driving risk assessment is now of interest of :
. telematics solutions providers
. fleet managers (for prevention)
. car insurers (for prevention, and UBI)
A lot of applications then explain how they estimate driving risk.
But, by the way, what is driving risk ?
A lot of people seem to think that driving risk and accident are quite the same. If I observe accident, then I will learn and do stats and find a way to estimate driving risk.... [Lire la suite]

2017 Technology Trends
The haves are breaking away from the have-nots.
The trends and innovations that will shape the technology industry over the next several years came into sharper focus in 2016. Cloud computing has gone mainstream for many enterprises, and the Internet of Things (IoT) is changing how both industrial and consumer-oriented companies do business. Drones and autonomous vehicles, blockchain, augmented and virtual reality, increasingly sophisticated digital assistants, machine learning (artificial intelligence, or AI)... [Lire la suite]

NEXYAD presenting a methodology for machine learning / deep learning at French railways company SNCF conference
The CEO of NEXYAD presented a methodology for machine learning and deep learning application in real industrial projects. This conference was organized by the French Railways company SNCF.
Another startup of the MOV'EO Groupement ADAS presented a neural networks-based project : Global Sensing Technology.

Audi will have an autonomous car in 2020 using NVIDIA tech and AI
Audi and NVIDIA have been working together for a while, with most of the results being fancy infotainment systems like the current version of MMI and Audi's Virtual Cockpit display setup. Now the two are partnering to build autonomous vehicles that will leverage NVIDIA technology. Audi has a demonstrator now and promises a fully autonomous car for the year 2020.The tech underlying these new self-driving vehicles is NVIDIA's DRIVE computing platform. It uses... [Lire la suite]

15 data and analytics trends that will dominate 2017
Along with social, mobile and cloud, analytics and associated data technologies have earned a place as one of the core disruptors of the digital age. 2016 saw big data technologies increasingly leveraged to power business intelligence. Here's what 2017 holds in store for the data and analytics space.
John Schroeder, executive chairman and founder of MapR Technologies, predicts the following six trends will dominate data and analytics in 2017:
Artificial... [Lire la suite]

Shifting gears: Insurers adjust for connected-car ecosystems
As the number of applications grows, a strong ecosystem is forming around the connected car, involving a range of participants—among them automakers, insurance companies, telecommunications firms, sensor and chip manufacturers, and digital-platform giants like Amazon and Uber, as well as academic institutions and standards-making bodies. The rise of this ecosystem is changing the competitive landscape for all participants, especially for companies in the insurance industry.... [Lire la suite]

Toyota, Tesla or Google: who's spending the most on artificial intelligence in the car industry?
Which businesses are investing in artificial intelligence? Read how artificial intelligence will change the car industry, and other sectors, as we know it.
Toyota has put $1 billion (£663 million) aside for a Silicon Valley artificial intelligence and robotics research unit to further its driverless car technologies, but is it enough to take Elon Musk's crown as the biggest tech spender in the car industry?
The... [Lire la suite]

Groupement ADAS is a Team of innovative companies with over 20 years experience in the field of technologies used in assistance driver systems (design, implementation and integration of ADAS in vehicles for safety features, driver assistance, partial delegation to the autonomous vehicle).